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Remote Spectrum Customer Care Jobs in Rochester, MN

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Remote Spectrum Customer Care information

See Rochester, MN salary details

$11

$19

$30

How much do remote spectrum customer care jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote spectrum customer care in Rochester, MN is $19.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.97 per hour, depending on experience, location, and employer.

What is the difference between Remote Spectrum Customer Care vs Remote Spectrum Technical Support?

AspectRemote Spectrum Customer CareRemote Spectrum Technical Support
Required CredentialsHigh school diploma or equivalent; customer service experienceHigh school diploma; technical knowledge or certifications often preferred
Work EnvironmentCustomer service centers, remote call centersRemote or on-site technical support centers
Employer & Industry UsageTelecommunications, cable servicesTelecommunications, internet services
Common Search & ComparisonCustomer service roles, support positionsTechnical support roles, troubleshooting jobs

Remote Spectrum Customer Care focuses on assisting customers with billing, account inquiries, and general questions, requiring strong communication skills. Remote Spectrum Technical Support involves troubleshooting technical issues related to internet, TV, or phone services, often requiring technical knowledge or certifications. Both roles are essential in the telecommunications industry but differ mainly in technical complexity and skill requirements.

Does Remote Spectrum Customer Care allow you to work from home?

Remote Spectrum Customer Care positions typically allow employees to work from home, as they are designed for remote customer support roles. These jobs often require familiarity with customer service software and communication tools, and may involve a flexible or scheduled work environment. However, specific remote work policies can vary by role and location, so it is advisable to confirm with the employer during the application process.

What are the key skills and qualifications needed to thrive as a Remote Spectrum Customer Care representative?

To thrive as a Remote Spectrum Customer Care representative, you need strong communication skills, problem-solving abilities, and familiarity with customer service best practices, often supported by a high school diploma or equivalent. Proficiency with customer relationship management (CRM) software, call center phone systems, and basic troubleshooting tools is typically required. Patience, active listening, and a positive attitude help individuals excel when handling challenging customer situations. These skills ensure high-quality customer experiences, efficient issue resolution, and sustained customer satisfaction in a remote environment.

What are some common challenges faced by Remote Spectrum Customer Care representatives, and how can they be effectively managed?

Remote Spectrum Customer Care representatives often encounter challenges such as handling high call volumes, resolving complex customer issues without face-to-face interaction, and adapting to evolving company policies and technologies. To manage these effectively, it's essential to maintain strong communication skills, stay organized with digital tools, and actively participate in ongoing training. Collaboration with team leads and fellow representatives through virtual meetings and chat platforms also helps in sharing best practices and troubleshooting difficult cases.

What is a Remote Spectrum Customer Care representative?

Remote Spectrum Customer Care representatives are customer service professionals who assist Spectrum customers with account inquiries, technical support, billing questions, and service issues from a remote or home-based location. They communicate with customers primarily via phone, chat, or email, providing troubleshooting, guidance, and solutions to ensure a positive customer experience. These roles require strong communication skills, problem-solving abilities, and familiarity with Spectrum’s products and services. Working remotely, representatives must also be comfortable with technology and able to manage their time independently.

What are popular job titles related to Remote Spectrum Customer Care jobs in Rochester, MN?

For Remote Spectrum Customer Care jobs in Rochester, MN, the most frequently searched job titles are:

What cities near Rochester, MN are hiring for Remote Spectrum Customer Care jobs?

Cities near Rochester, MN with the most Remote Spectrum Customer Care job openings:

Infographic showing various Remote Spectrum Customer Care job openings in Rochester, MN as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,585 per year, or $20 per hour.

Principal Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site, Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an assigned product team, this role develops and deploys data pipelines, integrations, and transformations to support analytics and machine learning applications using open-source programming languages and vendor software. The position requires a strong understanding of the organization's current solutions, coding languages, tools, and Enterprise Data and Analytics technology framework, as well as the ability to apply independent judgment, provide consultative services to departments, divisions, and leadership committees, and partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, transform data, visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.


Key responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.
 


Qualifications

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered. 

Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. 

The preferred candidate will possess:

  • Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
  • Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
  • Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
  • Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
  • Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
  • Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
  • Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
  • Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.

Exemption Status
Exempt
Compensation Detail
$155,500.80 - $225,492.80/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered. 

Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred. 

The preferred candidate will possess:

  • Expert-level proficiency in Python and SQL with extensive experience developing enterprise-scale production systems.
  • Advanced expertise in scalable distributed computing frameworks and modern data processing platforms.
  • Advanced experience implementing and governing open data architectures utilizing Apache Iceberg, Delta Lake, Apache Hudi, and related technologies.
  • Deep understanding of modern analytical storage formats including Parquet, Avro, and ORC.
  • Demonstrated expertise in lakehouse architecture, data platform design, and large-scale data engineering practices.
  • Experience architecting and implementing cloud-agnostic solutions across multiple technology ecosystems.
  • Experience designing highly scalable, fault-tolerant, secure, and observable data platforms supporting analytics, AI, machine learning, and operational workloads.
  • Experience establishing enterprise engineering standards, architecture patterns, and modernization strategies.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919